People

Is it online privacy dead?

There's a difference between anonymity online and in a small village; the latter has physical boundaries without much leverage. The first has a tail risk that can be disproportionate for the individual. The other question becomes; how much advantage do the 'bad guys' have? Why isn't it the case that high profile figures are disproportionate less under attack than ordinary people. If there is no anonimity how come identity theft and all other ailments are so hard to do for high profile figures? Maybe the data shows that the pay off is still greater for the triplet (government, corporations and crooks). What do we make of that? Should we become online soldiers to protect ourselves from harm that society is unable to keep pace with?

@/all hey data enthusiasts, I'm preparing a series of short videos on topics like statistics, data science, and data engineering for freeCodeCamp's YouTube channel. There are a ton of topics to cover, and I could use your help. We need to:

decide what topics to cover

write basic talking points for these topics

actually record them using a whiteboard, screencast, green screen, or some combination of these.

It will be a lot of work, but also a lot of fun. And it will be a great portfolio item to point to on your resume. All of the major contributors to freeCodeCamp's YouTube channel have said that being able to point to their videos - with their thousands of views - was instrumental in successfully landing their developer jobs.

freeCodeCamp's YouTube channel gets about 1,000 new subscribers a day and is quickly becoming one of the biggest programming YouTube channels.

@Simmonds14 we can maybe go into techniques as well. I guess that would fall under "data engineering". I think within the next couple weeks would be nice to get a running list. I've created a repository to keep my notes and create draft presentations.

erictleung/machine-learning#1 can be where we can discuss asynchronously for people interested. I've created as a starting base for some pages to look at for ideas on topics to cover.

At the very least, if you or anyone has an area of data science or something that is interesting or you'd like to learn more about, let me know and I can consider that in the series. It would be ideal to cover topics that are of interest and value to the community and broader context.